TY - GEN
T1 - TriboTouch
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Shultz, Craig
AU - Kim, Daehwa
AU - Ahuja, Karan
AU - Harrison, Chris
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - Touchscreen tracking latency, often 80ms or more, creates a rubber-banding effect in everyday direct manipulation tasks such as dragging, scrolling, and drawing. This has been shown to decrease system preference, user performance, and overall realism of these interfaces. In this research, we demonstrate how the addition of a thin, 2D micro-patterned surface with 5 micron spaced features can be used to reduce motor-visual touchscreen latency. When a finger, stylus, or tangible is translated across this textured surface frictional forces induce acoustic vibrations which naturally encode sliding velocity. This acoustic signal is sampled at 192kHz using a conventional audio interface pipeline with an average latency of 28ms. When fused with conventional low-speed, but high-spatial-accuracy 2D touch position data, our machine learning model can make accurate predictions of real time touch location.
AB - Touchscreen tracking latency, often 80ms or more, creates a rubber-banding effect in everyday direct manipulation tasks such as dragging, scrolling, and drawing. This has been shown to decrease system preference, user performance, and overall realism of these interfaces. In this research, we demonstrate how the addition of a thin, 2D micro-patterned surface with 5 micron spaced features can be used to reduce motor-visual touchscreen latency. When a finger, stylus, or tangible is translated across this textured surface frictional forces induce acoustic vibrations which naturally encode sliding velocity. This acoustic signal is sampled at 192kHz using a conventional audio interface pipeline with an average latency of 28ms. When fused with conventional low-speed, but high-spatial-accuracy 2D touch position data, our machine learning model can make accurate predictions of real time touch location.
KW - Input Techniques
KW - Latency
KW - Sensors
KW - Touchscreens
KW - Tribology
UR - http://www.scopus.com/inward/record.url?scp=85130562489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130562489&partnerID=8YFLogxK
U2 - 10.1145/3491102.3502069
DO - 10.1145/3491102.3502069
M3 - Conference contribution
AN - SCOPUS:85130562489
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -